New Delhi, June 11, 2026: Enterprise-tech startup Resilience AI, in collaboration with UNICEF and RedR India, has completed the deployment of AI-supported disaster management plans across 75 Gram Panchayats in Uttar Pradesh, Bihar and Tamil Nadu under the United Nations-supported 75 Village Development Project.
The programme explored the use of Artificial Intelligence (AI) and Machine Learning (ML) to strengthen climate adaptation, disaster risk reduction and local development planning in regions vulnerable to hazards such as floods, heat stress and earthquakes.
Implemented in Bahraich district of Uttar Pradesh, Begusarai district of Bihar and Virudhunagar district of Tamil Nadu, the initiative utilised Resilience360™, a web-based platform developed by Resilience AI. The platform integrates climatic, geological, ecological and built-environment data to generate hyperlocal risk profiles and support local governance planning.
Using the platform, digital Gram Panchayat Disaster Management Plans (GPDMPs) were developed in alignment with National Disaster Management Authority (NDMA) guidelines. These plans included multi-hazard risk and vulnerability assessments, preparedness measures, mitigation strategies, response frameworks and recovery planning linked to Gram Panchayat Development Plans (GPDPs).
Commenting on the initiative, Sarbjit Singh Sahota, Chief DRR a.i., UNICEF, said, “Today’s polycrisis is not neutral or natural. It’s the result of a failure to acknowledge and mitigate systemic risk, hence is an inherently complex proposition. I trust AI/ML can help decision makers comprehend the problems in their wider context. Surprisingly, we found Resilience AI eager to join us on this journey, fully embracing the reality that risk-resilience is not a finite destination, but an endless game.”
According to the organisations, findings generated through the platform were validated through consultations with local communities and stakeholders. In Tamil Nadu, the system identified a girls' school as vulnerable to heat stress, a finding later confirmed by community representatives. Similar validations were reported in Bihar and Uttar Pradesh for flood-prone households identified through the platform.
Samhita R, Founding CEO, Resilience AI, said, “Climate hazards are experienced locally, but the tools needed to understand them are often not available at the local level. Through this programme, we worked with Gram Panchayats across Uttar Pradesh, Bihar and Tamil Nadu to translate scientific data into practical planning that can be used by local administrators. The objective was not simply to deploy technology, but to ensure that climate risk and disaster management information could be integrated into local decision-making at the community level.”
The initiative forms part of ongoing efforts to explore how technology-driven tools can support local governance through data-backed decision-making, community participation and climate resilience planning at scale.
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